Journal of System Simulation
Abstract
Abstract: Multi-objective operation scheduling of shipborne equipment is a complex combinational optimization problem under multi-task system. Existing research focuses mainly on single-objective optimization while several other objectives need to be considered during real operation such as path, duration, resource, etc. Considering the operation scheduling before exporting of an amphibious landing ship as the research object, both scheduling duration and resource requirement under the precedence constraint are optimized. The mathematical model of this multi-objective operation scheduling is established and solved using genetic algorithm. A fitness function which can be self-adaptively adjusted is designed; an adapting encoding strategy, a crossover operator, and a mutation operator are also designed during the solution. The result of the instance simulation indicates that the algorithm is effective and reliable to optimize duration and resource requirements during the operation scheduling.
Recommended Citation
Bao, Jinsong; Li, Zhiqiang; and Zhou, Yaqin
(2019)
"Multi-Objective Operation Scheduling Optimization of Shipborne-equipment Based on Genetic Algorithm,"
Journal of System Simulation: Vol. 31:
Iss.
5, Article 10.
DOI: 10.16182/j.issn1004731x.joss.17-0160
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss5/10
First Page
901
Revised Date
2017-07-07
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.17-0160
Last Page
908
CLC
TP391.9
Recommended Citation
Bao Jinsong, Li Zhiqiang, Zhou Yaqin. Multi-Objective Operation Scheduling Optimization of Shipborne-equipment Based on Genetic Algorithm[J]. Journal of System Simulation, 2019, 31(5): 901-908.
DOI
10.16182/j.issn1004731x.joss.17-0160
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